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The R Project for Statistical Computing R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R, please choose your preferred CRAN mirror
R (programming language) - Wikipedia R is free and open-source software distributed under the GNU General Public License [3][11] The language is implemented primarily in C, Fortran, and R itself Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows)
Home - RDocumentation Easily search the documentation for every version of every R package on CRAN and Bioconductor
The Comprehensive R Archive Network R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc
R for the Rest of Us “ As I had never used R before, this course helped me learn the basics of R and the different methodologies for data visualization and coming up with errors
15+ Resources to Get Started with R - R-bloggers R is the second most sought after language in data science behind Python, so gaining mastery of R is a prerequisite to a thriving career in the field Whether you’re an experienced developer or a newbie considering a career move, here are some excellent resources so you can get started with R
Learn R - Codecademy R is an open-source programming language designed for data science and statistics It’s a powerful tool for working with data, and its documentation and supportive community offer helpful resources for new programmers
Getting Started with R - Programiz R is an interpreted programming language that is widely used to analyze statistical information as well as graphical representation In this tutorial, you will learn how to get started with R